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ORCID14. MICCAI 2011: Toronto, Canada
- Gabor Fichtinger, Anne L. Martel, Terry M. Peters:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III. Lecture Notes in Computer Science 6893, Springer 2011, ISBN 978-3-642-23625-9
Computer Aided Diagnosis and Machine Learning I
- Yanwu Xu
, Dong Xu, Stephen Lin, Jiang Liu, Jun Cheng, Carol Yim-lui Cheung, Tin Aung, Tien Yin Wong:
Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis. 1-8 - Maria A. Zuluaga, Don R. Hush, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz:
Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images. 9-16 - Nematollah Batmanghelich, Aoyan Dong, Ben Taskar, Christos Davatzikos:
Regularized Tensor Factorization for Multi-Modality Medical Image Classification. 17-24 - B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu:
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. 25-32 - Gaoyu Xiao, Anant Madabhushi:
Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data. 33-40 - Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff:
Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. 41-48 - Antonio Criminisi, Krishna Juluru, Sayan D. Pathak:
A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images. 49-57 - Juan Eugenio Iglesias, Jiayan Jiang, Cheng-Yi Liu, Zhuowen Tu:
Classification of Alzheimer's Disease Using a Self-Smoothing Operator. 58-65 - S. Hussain Raza, R. Mitchell Parry, Richard A. Moffitt, Andrew N. Young, May D. Wang:
An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification. 66-74 - Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff:
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. 75-82 - Selen Atasoy, Diana Mateus, Alexander Meining, Guang-Zhong Yang, Nassir Navab:
Targeted Optical Biopsies for Surveillance Endoscopies. 83-90 - Jun Cheng, Dacheng Tao, Jiang Liu, Damon Wing Kee Wong, Beng Hai Lee, Mani Baskaran, Tien Yin Wong, Tin Aung:
Focal Biologically Inspired Feature for Glaucoma Type Classification. 91-98 - Mert R. Sabuncu, Koen Van Leemput:
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. 99-106 - Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li:
Assessment of Regional Myocardial Function via Statistical Features in MR Images. 107-114
Computer Aided Diagnosis and Machine Learning II
- Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. 115-123 - Zhao Liu, Lyndon N. Smith, Jiuai Sun, Melvyn L. Smith, Robert Warr:
Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesions. 124-132 - Benjamin Irving, Pierre Goussard, Robert Gie, Andrew Todd-Pokropek, Paul Taylor:
Identification of Paediatric Tuberculosis from Airway Shape Features. 133-140 - Philip Walter Mewes, Dominik Neumann, Oleg Licegevic, Johannes Simon, Aleksandar Lj. Juloski, Elli Angelopoulou:
Automatic Region-of-Interest Segmentation and Pathology Detection in Magnetically Guided Capsule Endoscopy. 141-148 - Pierrick Coupé, Simon F. Eskildsen, José V. Manjón, Vladimir S. Fonov, D. Louis Collins:
Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer's Disease. 149-157 - Ayse Betül Oktay, Yusuf Sinan Akgul:
Localization of the Lumbar Discs Using Machine Learning and Exact Probabilistic Inference. 158-165 - Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou:
Automatic Contrast Phase Estimation in CT Volumes. 166-174 - Ayman El-Baz, Matthew Nitzken, Ahmed Elnakib, Fahmi Khalifa, Georgy L. Gimel'farb, Robert Falk, Mohamed Abou El-Ghar:
3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules. 175-182 - Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido:
Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach. 183-190 - Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference. 191-198 - Uri Avni, Hayit Greenspan, Jacob Goldberger:
X-ray Categorization and Spatial Localization of Chest Pathologies. 199-206 - Colin Jacobs, Clara I. Sánchez, Stefan C. Saur, Thorsten Twellmann, Pim A. de Jong, Bram van Ginneken:
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. 207-214 - Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura:
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. 215-222 - Sushravya Raghunath, Srinivasan Rajagopalan, Ronald A. Karwoski, Brian J. Bartholmai, Richard A. Robb:
Referenceless Stratification of Parenchymal Lung Abnormalities. 223-230 - Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller:
Lung Texture Classification Using Locally-Oriented Riesz Components. 231-238
Computer Aided Diagnosis and Machine Learning III
- Olivier Pauly, Ben Glocker, Antonio Criminisi, Diana Mateus, Axel Martinez-Möller, Stephan G. Nekolla, Nassir Navab:
Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences. 239-247 - Xióngbiao Luó, Takayuki Kitasaka, Kensaku Mori:
ManiSMC: A New Method Using Manifold Modeling and Sequential Monte Carlo Sampler for Boosting Navigated Bronchoscopy. 248-255 - Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Alejandro F. Frangi:
Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning. 256-263 - Virgile Fritsch, Gaël Varoquaux, Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion:
Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant. 264-271 - Yihui Cao, Yuan Yuan, Xuelong Li, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Segmenting Images by Combining Selected Atlases on Manifold. 272-279 - Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba:
Learning Pit Pattern Concepts for Gastroenterological Training. 280-287 - Karen Simonyan, Andrew Zisserman, Antonio Criminisi:
Immediate Structured Visual Search for Medical Images. 288-296 - Barbara André, Tom Vercauteren, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache:
Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos. 297-304
Segmentation I
- Jack H. Noble, Benoit M. Dawant:
A New Approach for Tubular Structure Modeling and Segmentation Using Graph-Based Techniques. 305-312 - Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Learning-Based Meta-Algorithm for MRI Brain Extraction. 313-321 - Neil I. Weisenfeld, Simon K. Warfield:
Learning Likelihoods for Labeling (L3): A General Multi-Classifier Segmentation Algorithm. 322-329 - Hrvoje Bogunovic, José María Pozo, Rubén Cárdenes, Alejandro F. Frangi:
Anatomical Labeling of the Anterior Circulation of the Circle of Willis Using Maximum a Posteriori Classification. 330-337 - Timo Kohlberger, Michal Sofka, Jingdan Zhang, Neil Birkbeck, Jens Wetzl, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou:
Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. 338-345 - Chaohui Wang, Haithem Boussaid, Loïc Simon, Jean-Yves Lazennec, Nikos Paragios:
Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors. 346-353 - Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes:
Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization. 354-361 - Seyed-Ahmad Ahmadi, Maximilian Baust, Athanasios Karamalis, Annika Plate, Kai Boetzel, Tassilo Klein, Nassir Navab:
Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis. 362-369
Segmentation II
- Fabian Rathke, Stefan Schmidt, Christoph Schnörr:
Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography. 370-377 - Manuel Jorge Cardoso, Andrew Melbourne, Giles S. Kendall, Marc Modat, Cornelia F. Hagmann, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Adaptive Neonate Brain Segmentation. 378-386 - Xiuli Li, Xinjian Chen, Jianhua Yao, Xing Zhang, Jie Tian:
Renal Cortex Segmentation Using Optimal Surface Search with Novel Graph Construction. 387-394 - Rubén Cárdenes, José-Luis Díez, Ignacio Larrabide, Hrvoje Bogunovic, Alejandro F. Frangi:
3D Modeling of Coronary Artery Bifurcations from CTA and Conventional Coronary Angiography. 395-402 - Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu:
Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. 403-410 - Francesco Ciompi, Oriol Pujol, Carlo Gatta, Xavier Carrillo, Josepa Mauri, Petia Radeva:
A Holistic Approach for the Detection of Media-Adventitia Border in IVUS. 411-419 - Dwarikanath Mahapatra, Ying Sun:
Orientation Histograms as Shape Priors for Left Ventricle Segmentation Using Graph Cuts. 420-427 - Dong Wei, Ying Sun, Ping Chai, Adrian F. Low, Sim Heng Ong:
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images. 428-435 - Ning Zhu, Albert C. S. Chung:
Minimum Average-Cost Path for Real Time 3D Coronary Artery Segmentation of CT Images. 436-444 - Hosung Kim, Tommaso Mansi, Neda Bernasconi, Andrea Bernasconi:
Robust Surface-Based Multi-template Automated Algorithm to Segment Healthy and Pathological Hippocampi. 445-453 - Oliver Müller, Sabine Donner, Tobias Klinder, Ralf Dragon, Ivonne Bartsch, Frank Witte, Alexander Krüger, Alexander Heisterkamp, Bodo Rosenhahn:
Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants. 454-462 - Axel Saalbach, Irina Wächter-Stehle, Reinhard Kneser, Sabine Mollus, Jochen Peters, Jürgen Weese:
Optimizing GHT-Based Heart Localization in an Automatic Segmentation Chain. 463-470 - Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu:
Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. 471-478 - Xiaoguang Lu, Marie-Pierre Jolly, Bogdan Georgescu, Carmel Hayes, Peter Speier, Michaela Schmidt, Xiaoming Bi, Randall Kroeker, Dorin Comaniciu, Peter Kellman, Edgar Mueller, Jens Guehring:
Automatic View Planning for Cardiac MRI Acquisition. 479-486 - Yefeng Zheng, Tianzhou Wang, Matthias John, Shaohua Kevin Zhou, Jan M. Boese, Dorin Comaniciu:
Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. 487-495 - Antonio Hernández-Vela, Carlo Gatta, Sergio Escalera, Laura Igual, Victoria Martin-Yuste, Petia Radeva:
Accurate and Robust Fully-Automatic QCA: Method and Numerical Validation. 496-503 - Ingmar Voigt, Tommaso Mansi, Razvan Ioan Ionasec, Etienne Assoumou Mengue, Helene Houle, Bogdan Georgescu, Joachim Hornegger, Dorin Comaniciu:
Robust Physically-Constrained Modeling of the Mitral Valve and Subvalvular Apparatus. 504-511 - Leo J. Grady, Saurabh Datta, Oliver Kutter, Christophe Duong, Wolfgang Wein, Stephen H. Little, Stephen R. Igo, Shizhen Liu, Mani A. Vannan:
Regurgitation Quantification Using 3D PISA in Volume Echocardiography. 512-519 - Robert J. Schneider, Neil A. Tenenholtz, Douglas P. Perrin, Gerald R. Marx, Pedro J. del Nido, Robert D. Howe:
Patient-Specific Mitral Leaflet Segmentation from 4D Ultrasound. 520-527
Segmentation III
- Yifeng Jiang, Zhen W. Zhuang, Albert J. Sinusas, Lawrence H. Staib, Xenophon Papademetris:
Vessel Connectivity Using Murray's Hypothesis. 528-536 - Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland:
Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters. 537-545 - Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos:
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. 546-553 - Shohei Hanaoka, Karl D. Fritscher, Martin Welk, Mitsutaka Nemoto, Yoshitaka Masutani, Naoto Hayashi, Kuni Ohtomo, Rainer Schubert:
3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. 554-561 - Brad M. Keller, Diane Nathan, Yan Wang, Yuanjie Zheng, James C. Gee, Emily F. Conant, Despina Kontos:
Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography. 562-569 - Wei Li, Shu Liao, Qianjin Feng, Wufan Chen, Dinggang Shen:
Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy. 570-578 - Nicolas Brieu, Martin Groher, Jovana Serbanovic-Canic, Ana Cvejic, Willem H. Ouwehand, Nassir Navab:
Joint Thrombus and Vessel Segmentation Using Dynamic Texture Likelihoods and Shape Prior. 579-586 - Fahmi Khalifa, Ahmed Elnakib, Garth M. Beache, Georgy L. Gimel'farb, Mohamed Abou El-Ghar, Rosemary Ouseph, Guela Sokhadze, Samantha Manning, Patrick McClure, Ayman El-Baz:
3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function. 587-594 - Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk:
Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection. 595-602 - Andrew Top, Ghassan Hamarneh, Rafeef Abugharbieh:
Active Learning for Interactive 3D Image Segmentation. 603-610 - Shaoting Zhang, Junzhou Huang, Mustafa Gökhan Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas:
3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models. 611-618 - Tamás Haidegger, Melinda Nagy, Ákos Lehotsky, László Szilágyi:
Digital Imaging for the Education of Proper Surgical Hand Disinfection. 619-626 - Lichao Wang, Robert D. Merrifield, Guang-Zhong Yang:
Reinforcement Learning for Context Aware Segmentation. 627-634 - Yaping Wang, Jingxin Nie, Pew-Thian Yap, Feng Shi, Lei Guo, Dinggang Shen:
Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies. 635-642 - Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen:
Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. 643-650 - Shawn Andrews, Ghassan Hamarneh, Azadeh Yazdanpanah, Bahareh HajGhanbari, W. Darlene Reid:
Probabilistic Multi-shape Segmentation of Knee Extensor and Flexor Muscles. 651-658 - William Speier, Juan Eugenio Iglesias, Leila El-Kara, Zhuowen Tu, Corey W. Arnold:
Robust Skull Stripping of Clinical Glioblastoma Multiforme Data. 659-666 - Michal Sofka, Jens Wetzl, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou:
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. 667-674
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